| Statistical normalization techniques for magnetic resonance imaging RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ... NeuroImage: Clinical 6, 9-19, 2014 | 410 | 2014 |
| Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ... Scientific reports 8 (1), 13650, 2018 | 272 | 2018 |
| Removing inter-subject technical variability in magnetic resonance imaging studies JP Fortin, EM Sweeney, J Muschelli, CM Crainiceanu, RT Shinohara, ... NeuroImage 132, 198-212, 2016 | 151 | 2016 |
| OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI EM Sweeney, RT Shinohara, N Shiee, FJ Mateen, AA Chudgar, ... NeuroImage: clinical 2, 402-413, 2013 | 125 | 2013 |
| Automatic lesion incidence estimation and detection in multiple sclerosis using multisequence longitudinal MRI EM Sweeney, RT Shinohara, CD Shea, DS Reich, CM Crainiceanu American Journal of Neuroradiology 34 (1), 68-73, 2013 | 91 | 2013 |
| Subject-specific sparse dictionary learning for atlas-based brain MRI segmentation S Roy, Q He, E Sweeney, A Carass, DS Reich, JL Prince, DL Pham IEEE journal of biomedical and health informatics 19 (5), 1598-1609, 2015 | 86 | 2015 |
| PItcHPERFeCT: primary intracranial hemorrhage probability estimation using random forests on CT J Muschelli, EM Sweeney, NL Ullman, P Vespa, DF Hanley, ... NeuroImage: Clinical 14, 379-390, 2017 | 82 | 2017 |
| A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRI EM Sweeney, JT Vogelstein, JL Cuzzocreo, PA Calabresi, DS Reich, ... PloS one 9 (4), e95753, 2014 | 55 | 2014 |
| fslr: Connecting the FSL Software with R J Muschelli, E Sweeney, M Lindquist, C Crainiceanu The R journal 7 (1), 163, 2015 | 54 | 2015 |
| Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection ER Olafson, KW Jamison, EM Sweeney, H Liu, D Wang, JE Bruss, ... Neuroimage 245, 118642, 2021 | 46 | 2021 |
| Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis M Marcille, S Hurtado Rúa, C Tyshkov, A Jaywant, J Comunale, ... Scientific Reports 12 (1), 4411, 2022 | 44 | 2022 |
| Dimethyl fumarate reduces inflammation in chronic active multiple sclerosis lesions N Zinger, G Ponath, E Sweeney, TD Nguyen, CH Lo, I Diaz, A Dimov, ... Neurology: Neuroimmunology & Neuroinflammation 9 (2), e1138, 2022 | 41 | 2022 |
| Clinical 3-tesla FLAIR* MRI improves diagnostic accuracy in multiple sclerosis IC George, P Sati, M Absinta, ICM Cortese, EM Sweeney, CD Shea, ... Multiple Sclerosis Journal 22 (12), 1578-1586, 2016 | 39 | 2016 |
| Australian imaging biomarkers lifestyle flagship study of ageing, and alzheimer’s disease neuroimaging initiative. statistical normalization techniques for magnetic resonance … RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ... Neuroimage Clin 6 (9), 2014 | 36 | 2014 |
| QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps H Zhang, TD Nguyen, J Zhang, M Marcille, P Spincemaille, Y Wang, ... NeuroImage: Clinical 34, 102979, 2022 | 34 | 2022 |
| ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation H Zhang, J Zhang, C Li, EM Sweeney, P Spincemaille, TD Nguyen, ... NeuroImage: Clinical 32, 102854, 2021 | 33 | 2021 |
| Health effects of lesion localization in multiple sclerosis: spatial registration and confounding adjustment A Eloyan, H Shou, RT Shinohara, EM Sweeney, MB Nebel, JL Cuzzocreo, ... PloS one 9 (9), e107263, 2014 | 28 | 2014 |
| Quantifying cognitive resilience in Alzheimer’s disease: the Alzheimer’s disease cognitive resilience score T Yao, E Sweeney, J Nagorski, JM Shulman, GI Allen PLoS One 15 (11), e0241707, 2020 | 27 | 2020 |
| Fully automated detection of paramagnetic rims in multiple sclerosis lesions on 3T susceptibility-based MR imaging C Lou, P Sati, M Absinta, K Clark, JD Dworkin, AM Valcarcel, ... NeuroImage: Clinical 32, 102796, 2021 | 26 | 2021 |
| Quantitative water permeability mapping of blood-brain-barrier dysfunction in aging JN Ford, Q Zhang, EM Sweeney, AE Merkler, MJ de Leon, A Gupta, ... Frontiers in Aging Neuroscience 14, 867452, 2022 | 24 | 2022 |
Daniel S. ReichNational Institutes of HealthVerified email at nih.gov
